SNOWFLAKE conversion DATETIME 0 - snowflake-cloud-data-platform

Question

I am aware that Snowflake is very similar to Oracle. I am doing a job that requires me to move some SQL Server code over into snowflake , however I can't seem to get these date functions converted over. In SSMS this SELECT DATEADD(YEAR,DATEDIFF(YEAR,0,'1912-01-01'),0) statement would return 1912-01-01 00:00:000. since the 0 indicates "The beginning of time" what would be Snowflakes equivalent to this 0 be and better yet how would you convert this to say Oracle code?
Thank you ahead of time!

Answer 1

Sharing few examples from Snowflake -
select date_trunc(year,'1912-01-05'::date);
+-------------------------------------+
| DATE_TRUNC(YEAR,'1912-01-05'::DATE) |
|-------------------------------------|
| 1912-01-01 |
+-------------------------------------+
select date_trunc(year,'1912-10-05'::date);
+-------------------------------------+
| DATE_TRUNC(YEAR,'1912-10-05'::DATE) |
|-------------------------------------|
| 1912-01-01 |
+-------------------------------------+
select date_trunc(year,'1912-12-01 10:00:000'::timestamp);
+----------------------------------------------------+
| DATE_TRUNC(YEAR,'1912-12-01 10:00:000'::TIMESTAMP) |
|----------------------------------------------------|
| 1912-01-01 00:00:00.000 |
+----------------------------------------------------+

Answer 2

I am familiar with the method you are talking about. It was a workaround to make up for the fact that SQL Server did not have a function to truncate date/time.
In Snowflake, just use DATE_TRUNC( <date_or_time_part>, <date_or_time_expr> )
https://docs.snowflake.com/en/sql-reference/functions/date_trunc.html
select to_date('2015-05-08T23:39:20.123-07:00') as "DATE1",
date_trunc('YEAR', "DATE1") as "TRUNCATED TO YEAR",
date_trunc('MONTH', "DATE1") as "TRUNCATED TO MONTH",
date_trunc('DAY', "DATE1") as "TRUNCATED TO DAY";
+------------+-------------------+--------------------+------------------+
| DATE1 | TRUNCATED TO YEAR | TRUNCATED TO MONTH | TRUNCATED TO DAY |
|------------+-------------------+--------------------+------------------|
| 2015-05-08 | 2015-01-01 | 2015-05-01 | 2015-05-08 |
+------------+-------------------+--------------------+------------------+
select to_timestamp('2015-05-08T23:39:20.123-07:00') as "TIMESTAMP1",
date_trunc('HOUR', "TIMESTAMP1") as "TRUNCATED TO HOUR",
date_trunc('MINUTE', "TIMESTAMP1") as "TRUNCATED TO MINUTE",
date_trunc('SECOND', "TIMESTAMP1") as "TRUNCATED TO SECOND";
+-------------------------+-------------------------+-------------------------+-------------------------+
| TIMESTAMP1 | TRUNCATED TO HOUR | TRUNCATED TO MINUTE | TRUNCATED TO SECOND |
|-------------------------+-------------------------+-------------------------+-------------------------|
| 2015-05-08 23:39:20.123 | 2015-05-08 23:00:00.000 | 2015-05-08 23:39:00.000 | 2015-05-08 23:39:20.000 |
+-------------------------+-------------------------+-------------------------+-------------------------+

Answer 3

Snowflake and Oracle both have a date truncate function
Snowflake:
DATE_TRUNC has many supported periods it can truncate to:
SELECT '1921-12-23'::date as d
,DATE_TRUNC('year', d) as d_trunc_to_year;
gives:
D
D_TRUNC_TO_YEAR
1921-12-23
1921-01-01
Oracle:
Oracle has TRUNC
Which there example looks to solve a rather similar way:
SELECT TRUNC(TO_DATE('27-OCT-92','DD-MON-YY'), 'YEAR')
"New Year" FROM DUAL;
New Year
---------
01-JAN-92